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TMM
2008
201views more  TMM 2008»
13 years 7 months ago
Fast Best-Match Shape Searching in Rotation-Invariant Metric Spaces
Object recognition and content-based image retrieval systems rely heavily on the accurate and efficient identification of shapes. A fundamental requirement in the shape analysis p...
Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng...
ICML
2007
IEEE
14 years 8 months ago
Discriminant analysis in correlation similarity measure space
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
Yong Ma, Shihong Lao, Erina Takikawa, Masato Kawad...
ICASSP
2010
IEEE
13 years 7 months ago
Analysis of phone posterior feature space exploiting class-specific sparsity and MLP-based similarity measure
Class posterior distributions have recently been used quite successfully in Automatic Speech Recognition (ASR), either for frame or phone level classification or as acoustic featu...
Afsaneh Asaei, Benjamin Picart, Hervé Bourl...
SEBD
1997
158views Database» more  SEBD 1997»
13 years 9 months ago
Indexing Metric Spaces with M-Tree
M-tree is a dynamic access method suitable to index generic “metric spaces”, where the function used to compute the distance between any two objects satisfies the positivity, ...
Paolo Ciaccia, Marco Patella, Fausto Rabitti, Pave...
NMR
2004
Springer
14 years 27 days ago
Preliminary considerations on the modelling of belief change operators by metric spaces
In this paper, a possible worlds framework for representing general belief change operators is presented. In common with many approaches, an agent’s set of beliefs are specifie...
James P. Delgrande